39 citations · 86 across the 9 of their papers we have counts for
3 papers · 1 filter
Solving Bilevel Optimal Bidding Problems Using Deep Convolutional Neural Networks
Domagoj Vlah, Karlo Šepetanc, Hrvoje Pandžić
Current state-of-the-art solution techniques for solving bilevel optimization problems either assume strong problem regularity criteria or are computationally intractable. In this…
Solving Bilevel AC OPF Problems by Smoothing the Complementary Conditions -- Part II: Solution Techniques and Case Study
Karlo Sepetanc, Hrvoje Pandzic, Tomislav Capuder
This is a second part of the research on AC optimal power flow being used in the lower level of the bilevel strategic bidding or investment models. As an example of a suitable uppe…
Solving Bilevel AC OPF Problems by Smoothing the Complementary Conditions -- Part I: Model Description and the Algorithm
Karlo Šepetanc, Hrvoje Pandžić, Tomislav Capuder
The existing research on market price-affecting agents, i.e. price makers, neglects or simplifies the nature of AC power flows in the power system as it predominantly relies on DC…